the dataset is consist of about two thousand of human's pressure footprint, devide by ID number. The weight and the height are provided in ZY122.xlsx. We could use footprint to pred human's height and weight.
Two kinds of pred models are used. One is vgg16, another is resnet 34. Details abouts the models are below.
| model_nam\ACC | height | weight |
|---|---|---|
| vgg16 | 96.927% | 93.268% |
| resnet34 | 97.690% | 93.321% |
python processing.py
parser.add_argument('--n_epoch', nargs='?', type=int, default=50,
help='# of the epochs')
parser.add_argument('--batch_size', nargs='?', type=int, default=16,
help='Batch Size')
parser.add_argument('--l_rate', nargs='?', type=float, default=1e-4,
help='Learning Rate')
parser.add_argument('--gpu',nargs='*', type=int, default=1)
parser.add_argument('--model',nargs='?',type=str,default='vgg16')
parser.add_argument('--use_pred',nargs='?',type=str,default=None) ``
python work.py --model resnet34
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